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Sustainability Risk & Reputational Risk Specialist

Nu México • Mexico • Added on Jun 14, 2026
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As a risk specialist at Nu, you’ll build the analytical infrastructure needed to identify and monitor social, environmental, and climate-related threats. Your work will involve turning large volumes of complex data into risk models and dashboards that guide strategic decisions across the regions where the digital bank operates.

This role is key to safeguarding the social and operating license of one of Latin America’s most disruptive financial platforms. By embedding sustainability metrics at the core of non-financial risk analysis, you’ll help the company anticipate reputational impacts and adapt proactively to the challenges of climate change and social equity in banking.

This suits someone who has a quantitative, technical background and a structured mindset, and who enjoys solving ambiguous problems using Python or R and geospatial data analysis.

Job FAQs

What are the main missions and responsibilities of this role?

The primary mission involves structuring and governing the non-financial risk framework, specifically targeting sustainability and reputational verticals. You will build and maintain sophisticated analytical models that cross-reference internal records with vast public databases to monitor environmental and climate exposure. In addition to technical modeling, the role requires developing composite indices and scoring systems that directly influence governance inputs. You will serve as a bridge between raw data and risk narratives, automating recurring data pipelines to ensure the organization remains agile and responsive to emerging threats.

Key learning opportunities for this job

This position offers a rare chance to develop deep domain expertise in Sustainability and Climate Risk specifically applied to the fintech sector. While the role demands high analytical proficiency, you will be supported by senior leadership to master the nuances of SAC (Social, Environmental, and Climate) risk methodologies. You will gain exposure to advanced data sources such as geospatial time series, NLP for public perception monitoring, and specialized environmental databases like MapBiomas or EM-DAT. Working in a cross-geo environment also provides a unique opportunity to understand diverse regulatory landscapes across Brazil, Mexico, and Colombia.

How does the ideal candidate look like (experience, skills)?

The ideal candidate is a highly quantitative professional with a degree in Statistics, Data Science, or Economics who can navigate complex datasets independently. Proficiency in Python or R for building analytical pipelines is non-negotiable, alongside experience in manipulating large and heterogeneous datasets. Beyond technical skills, we look for someone with a strong interest in ESG and the ability to structure ambiguous problems. Experience in regulated environments like credit risk or compliance is a significant advantage, as is the ability to communicate fluently in English with global teams.

Advice to stand out and make a successful application

Focus your application on your ability to translate complex data into actionable business insights. If you have previously worked on projects involving geospatial data or NLP for monitoring public sentiment, highlight these specifically as they align with the team's move toward narrative monitoring. Since this role emphasizes a 'learning on the job' approach for the sustainability component, demonstrate your intellectual curiosity and track record of mastering new domains quickly. Tailor your resume to show how you have used quantitative tools to solve governance or risk-related problems in the past.

What aspects of the company's sustainability is this role likely to focus on?

The role focuses intensely on the Social, Environmental, and Climate (SAC) risk vertical. This involves quantifying how climate change or social shifts might impact the bank’s operations and reputation, moving beyond generic ESG reporting toward rigorous risk quantification. You will likely work on projects related to decarbonization exposure within credit portfolios and monitoring local social governance factors. By automating the collection of environmental data, you help Nu align its rapid growth with sustainable and ethically sound financial practices.

What are the main challenges someone in this role might face?

One of the most significant challenges will be structuring data from heterogeneous sources. Climate and social data are often fragmented or inconsistent across different countries, requiring a high degree of creativity and technical skill to normalize into a cohesive risk index. Additionally, you will need to manage the speed of fintech innovation against the rigorous requirements of risk governance. Balancing the need for automated, scalable solutions with the qualitative nuances of reputational risk in a highly visible, public-facing company like Nu requires constant vigilance.

How could a typical day look like for someone in this position?

A typical day might begin with a cross-geo sync to discuss risk indicators across different regions. You would then spend several focus blocks writing code in Python to refine exposure metrics or developing new dashboards for the NFR Global team. Afternoons might involve collaborating with internal stakeholders to interpret recent risk events or performing a post-mortem on a specific reputational threat. You will frequently interact with data engineers to ensure your pipelines for processing public socioeconomic or geospatial data are running efficiently and accurately.

What are the opportunities for professional growth and development in this role?

As an early specialist in this vertical, you are positioned at the intersection of FinTech and ESG, one of the fastest-growing areas in finance. Success in this role could lead to senior strategic positions within risk management or leadership roles in Nu’s global sustainability office. The role offers high visibility due to its cross-geo nature, allowing you to build a reputation as a subject matter expert across multiple markets. There is also the potential to specialize further into climate modeling or reputational intelligence as the vertical expands.

The main stakeholders you might be interacting with

You will regularly engage with the NFR (Non-Financial Risk) Global team and local risk managers across Latin America. These interactions focus on aligning risk frameworks and ensuring that regional data feeds into the global governance model. Other key stakeholders include Data Science and Engineering teams who support the underlying infrastructure, and senior leadership who rely on your indices to make informed strategic decisions. You may also interface with compliance officers to ensure all risk monitoring meets regional regulatory standards.

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